MCP Tool Examples
This page contains example scripts intended for use as MCP tools. When developing MCP tool scripts, make sure they return a string value, as this is required for the MCP client's LLM to interpret the output correctly.
List of Models
Returns all models accessible for the user (in a CSV data) with following fields: Model name, Containing project name, Model ID, Case attributes, Event attributes, Case count, and Event count.
let result = Query(#{
"Values": [
#{
"Name": "Model name",
"Expression": "Name"
},
#{
"Name": "Containing project name",
"Expression": "Project.Name"
},
#{
"Name": "Model ID",
"Expression": "Id"
},
#{
"Name": "Case attributes",
"Expression": "ToJson(If(Status==\"Online\",OrderByValue(Flatten(EventLog.CaseAttributes.Name)), CasesDatatable?.ColumnNames ?? []))"
},
#{
"Name": "Event attributes",
"Expression": "ToJson(If(Status==\"Online\",OrderByValue(Flatten(EventLog.EventAttributes.Name)), EventsDatatable?.ColumnNames ?? []))"
},
#{
"Name": "Case count",
"Expression": "CasesDatatable?.NRows"
},
#{
"Name": "Event count",
"Expression": "EventsDatatable?.NRows"
}
],
"Ordering": [
#{
"Name": "Containing project name",
"Direction": "Ascending"
},
#{
"Name": "Model name",
"Direction": "Ascending"
}
],
"Dimensions": null,
"Root": "Models",
"ContextType": "generic"
}).Collect();
return result.ToCsv();
Average case cost in specific model
Returns the average of the case Cost attribute value of all cases in the model with ID 1.
let result = Query(#{
"Values": [
#{
"Name": "Average Cost",
"Expression": "Column(\"Cost\")",
"AggregationFunction": "average"
}
],
"Dimensions": [],
"Root": "Cases",
"ModelId": 1,
"ContextType": "model",
"ProcessingMethod": "dataframe"
}).Collect();
return result.ToCsv();
Case details
Returns details of a specific case. The case ID is provided as an MCP parameter, so the following Input configuration is needed:
{
"type": "object",
"additionalProperties": false,
"properties": {
"CaseId": {
"type": "string",
"minLength": 1,
"description": "Unique identifier of the case (i.e, Case ID). Cases may be orders, deliveries, invoices depending on the model name."
}
}
}
The tool script:
let result = Query(#{
"Dimensions": null,
"Values": [
#{
"Name": "Start time",
"Expression": "AggregateFrom(Events, \"Min\", TimeStamp, null)"
},
#{
"Name": "End time",
"Expression": "AggregateFrom(Events, \"Max\", TimeStamp, null)"
},
#{
"Name": "Duration in hours",
"Expression": "DurationBetweenDates(\"hour\", AggregateFrom(Events, \"Min\", TimeStamp, null), AggregateFrom(Events, \"Max\", TimeStamp, null), null)"
},
#{
"Name": "Latest event",
"Expression": "AggregateFrom(Events.WithRowNumberColumn(\"RowNumber\", [TimeStamp, EventType], [CaseId], [false, false]).Where(Column(\"RowNumber\") == 1), \"Any\", EventType, null)"
},
#{
"Name": "Event count",
"Expression": "Coalesce(AggregateFrom(Events, \"Count\", null, null), 0)"
},
#{
"Name": "Event types count",
"Expression": "Coalesce(AggregateFrom(Events, \"CountDistinct\", EventType, null), 0)"
},
#{
"Name": "Repeating event types",
"Expression": "Coalesce(AggregateFrom(Events, \"Count\", null, null), 0) - Coalesce(AggregateFrom(Events, \"CountDistinct\", EventType, null), 0)"
},
#{
"Name": "Variation path",
"Expression": "AggregateFrom(Events, #{\"Function\":\"Array\",\"Ordering\":[TimeStamp, EventType]}, EventType, null)"
}
],
"MaximumRowCount": 1,
"Root": "Cases",
"Filter": #{
"Items": [
#{
"Type": "IncludeCases",
"Items": [
#{
"Type": "CaseAttributeValue",
"Attribute": "Case Name",
"StringifiedValues": [
"0" + CaseId
]
}
]
}
]
},
"ModelId": 1,
"ContextType": "model",
"ProcessingMethod": "dataframe"
}).Collect();
return result.ToCsv();
Notes: - Note that the script has the CaseId variable containing the provided CaseId parameter. - The model ID is hardcoded in this example, but the model ID can also be provided as an MCP parameter.